Aims and scope

Journal of Electrical and Computer Engineering publishes papers that report advances from across the rapidly moving fields of both electrical engineering and computer engineering. Reflecting the prevalence of electrical systems and devices both in our everyday lives and in advanced technological environments, the journal welcomes submissions relating to their implementation in all settings and industries. Studies may relate to the design, production, operation, and testing of electrical devices and systems, or the engineering of their hardware, software and networking. Authors should submit to one of the following subject areas:

    Circuits and Systems
    Communications
    Power Systems
    Signal Processing

The journal will also consider articles that fall between these areas, or lie at the interface of these and another branch of engineering; please simply submit to the most appropriate one. As well as original research, Journal of Electrical and Computer Engineering also publishes focused review articles that examine the state of the art, identify emerging trends, and suggest future directions for developing fields.

Special Issue on Energy-Efficient Computing and Sustainable Technologies
截稿日期: 2024-12-27

Description

The quest for energy-efficient computing and sustainable technologies has become a critical focus in the field of electrical and computer engineering. As the demand for computational power continues to escalate driven by advancements in artificial intelligence, big data, and the Internet of Things, the need for sustainable solutions is more pressing than ever. Innovations in energy-efficient computing not only promise to reduce the environmental impact of our growing digital footprint but also pave the way for more cost-effective and scalable technological infrastructures.

Despite significant advancements, several challenges persist in achieving truly energy-efficient and sustainable computing. Current systems often grapple with high energy consumption, limited battery life in portable devices, and the environmental impact of electronic waste. Furthermore, optimizing energy efficiency without compromising performance and speed remains a formidable hurdle. Researchers also face the complexities of integrating renewable energy sources into existing infrastructure and the need for novel materials and architectures that can enhance energy efficiency. Addressing these multifaceted challenges requires a concerted effort from academia, industry, and policymakers to develop holistic and innovative solutions.

The aim of this Special Issue is to bring together pioneering research that addresses the myriad challenges in energy-efficient computing and sustainable technologies. We welcome original research and review articles that delve into cutting-edge research and developments that are pushing the boundaries of energy efficiency and sustainability in computing technologies. We seek contributions that explore new theoretical frameworks, practical applications, and experimental studies that highlight breakthroughs in this domain. Overall, we aim to advance knowledge, promote innovation, and drive positive change towards a more energy-efficient and sustainable future in computing and related domains.

Potential topics include but are not limited to the following:

    Hardware and architecture design for energy-efficient computing.
    Low-power electronics and components.
    Energy-aware software design and optimization techniques.
    Green data centers and cloud computing.
    Renewable energy integration in computing systems.
    Energy-efficient networking protocols and infrastructure.
    Sustainable computing practices and methodologies.
    Life-cycle analysis of computing technologies.
    Environmental impact assessment of computing systems.
    Policy, regulations, and standards for sustainable computing.
    Algorithm-based optimization for sustainable material and manufacturing systems

Editors

Lead Editor

Sheila Mahapatra1
1Alliance University, Bengaluru, India

Guest Editors

Oluwasegun Julius Aroba1
1Durban University of Technology, Durban, South Africa

Special Issue on Recent Advances in Machine Learning for Signal Processing
截稿日期: 2024-12-27

Description

The Special Issue " Recent Advances in Machine Learning for Signal Processing" for the Journal of Electrical and Computer Engineering is a timely and pivotal collection addressing the convergence of two rapidly evolving fields. As machine learning techniques continue to advance, their application in signal processing has shown significant promise, offering new methods for efficiently analyzing, interpreting, and utilizing signals in various domains.

This issue highlights recent breakthroughs and innovative methodologies that leverage machine learning to enhance signal processing tasks such as denoising, feature extraction, and pattern recognition. With contributions from leading researchers, the issue explores how deep learning architectures, reinforcement learning, and unsupervised learning techniques are being tailored to address specific challenges in signal processing, driving forward the capabilities of modern electronic systems and communication technologies.

This Special Issue also underscores the practical implications and future directions of integrating machine learning with signal processing. It delves into real-world applications such as speech and image processing, biomedical signal analysis, and wireless communication, demonstrating the transformative potential of these technologies in improving accuracy, efficiency, and robustness. By presenting case studies and experimental results, the issue provides valuable insights into the scalability and adaptability of machine learning models in processing complex signals. As the demand for more intelligent and autonomous systems grows, the research presented in this issue offers a critical foundation for developing next-generation solutions that can meet the increasingly sophisticated needs of various industries.

Potential topics include but are not limited to the following:

    Machine Learning
    Signal Processing
    Image Processing
    Audio Processing
    Photodetector Technology
    Antenna Design
    Biosensors
    Computer Engineering
    Electrical Engineering
    Communication Systems

Editors

Lead Editor

Shonak Bansal1
1Chandigarh University, Chandigarh, India

Guest Editors

Gupta Dr. Anupma1 | Meet Kumari2 | Krishna Prakash3 | Payal Patial4

1Chitkara University, Punjab, India
2Chandigarh University, Chandigarh, India
3NRI Institute of Technology, Agiripalli, Andhra Pradesh, India
4Chandigarh University, Chandigarh, India

Special Issue on Advancements in Biosensors, Electromagnetic Antenna Design, and Machine Learning: Bridging Technologies for Next-Generation Applications
截稿日期: 2024-12-27

Description

The convergence of biosensors, electromagnetic antenna design, and machine learning represents a groundbreaking interdisciplinary frontier with profound implications across various domains. Biosensors have revolutionized healthcare, offering real-time monitoring capabilities for physiological parameters and biomarkers, thereby enabling early disease detection and personalized medicine.

Simultaneously, advancements in electromagnetic antenna design have enhanced communication systems, remote sensing, and radar technologies, driving innovation in wireless connectivity and remote sensing applications. Integrating machine learning with these technologies amplifies their capabilities, empowering data-driven decision-making, pattern recognition, and predictive modeling for enhanced performance and efficiency.

This Special Issue serves as a platform to explore the synergistic potential of biosensors, electromagnetic antenna design, and machine learning. By bringing together experts from diverse backgrounds, it aims to highlight recent advancements, foster interdisciplinary collaboration, and stimulate discussions on emerging trends and future directions. From improving healthcare diagnostics to optimizing wireless communication networks, this Special Issue underscores the transformative impact of integrating these innovative technologies, offering insights into their integration, challenges, and potential applications across various domains.

Potential topics include but are not limited to the following:

    Biosensors
    Electromagnetic antenna
    Machine learning applications
    Signal processing techniques
    Wireless communication
    Healthcare technology
    Data-driven analytics
    Sensing technology
    Remote monitoring
    Smart sensor networks

Editors

Lead Editor

Shonak Bansal1
1Chandigarh University, Chandigarh, India

Guest Editors

SACHIN KUMAR YADAV1 | Gupta Dr. Anupma2 | Meet Kumari3 | Kanwarpreet Kaur4

1GLA University, Mathura, Uttar Pradesh, India
2Chitkara University, Punjab, India
3Chandigarh University, Chandigarh, India
4Chandigarh University, Chandigarh, India